Multivariate statistical process control MSPC is applied to an electrolysis process. The process produces extremely pure copper, and to monitor its quality the levels of eight metal impurities were recorded twice a day. These quality data are anal-Ε½ . Ε½ . ysed adopting an 1 'intuitive' univariate ap
A transformation-based multivariate chart to monitor process dispersion
β Scribed by B. Abbasi; S. T. A. Niaki; M. Abdollahian; S. Z. Hosseinifard
- Publisher
- Springer
- Year
- 2008
- Tongue
- English
- Weight
- 195 KB
- Volume
- 44
- Category
- Article
- ISSN
- 0268-3768
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The utility of multivariate statistical process control (MSPC) in the process industry can be further improved by applying knowledge-based systems (KBS) principles. First, the extensive volumes of process data generated in a production process can be pre-assessed by the KBS according to set rules. S
## Abstract Multivariate statistical process control (MSPC) was for the first time applied to analyse data from a bioprocess onβline multiβanalyser system consisting of an electronic nose (EN), a nearβinfrared spectroscope (NIRS), a mass spectrometer (MS) and standard bioreactor probes. One hundred